A Hybrid Model for Aiding in Decision Making for the Neuropsychological Diagnosis of Alzheimer's Disease

This work presents a hybrid model, combining Bayesian Networks and the Multicriteria Method, for aiding in decision making for the neuropsychological diagnosis of Alzheimer's disease. Due to the increase in life expectancy there is higher incidence of dementias. Alzheimer's disease is the most common dementia (alone or together with other dementias), accounting for 50% of the cases. Because of this and due to limitations in treatment at late stages of the disease early neuropsychological diagnosis is fundamental because it improves quality of life for patients and theirs families. Bayesian Networks are implemented using NETICA tool. Next, the judgment matrixes are constructed to obtain cardinal value scales which are implemented through MACBETH Multicriteria Methodology. The modeling and evaluation processes were carried out with the aid of a health specialist, bibliographic data and through of neuropsychological battery of standardized assessments.

[1]  A. Ardila,et al.  NEUROPSI: A brief neuropsychological test battery in Spanish with norms by age and educational level , 1999, Journal of the International Neuropsychological Society.

[2]  P. Caramelli,et al.  Como diagnosticar as quatro causas mais freqüentes de demência , 2002 .

[3]  Ricardo Nitrini,et al.  Brazilian version of the Mattis dementia rating scale: diagnosis of mild dementia in Alzheimer's disease. , 2003, Arquivos de neuro-psiquiatria.

[4]  Herman Buschke,et al.  Diagnosis of early dementia by the Double Memory Test , 1997, Neurology.

[5]  C Jonker,et al.  The diagnostic value of electroencephalography in mild senile Alzheimer's disease , 1999, Clinical Neurophysiology.

[6]  C. Casaceli,et al.  Dementia consults: Predictors of compliance by primary care physicians , 2002, American journal of Alzheimer's disease and other dementias.

[7]  C. B. E. Costa,et al.  Facilitating bid evaluation in public call for tenders: a socio-technical approach , 2002 .

[8]  Plácido Rogério Pinheiro,et al.  A Multicriteria Model Applied in the Diagnosis of Alzheimer's Disease: A Bayesian Network , 2008, CSE.

[9]  J. Morris,et al.  The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part I. Clinical and neuropsychological assesment of Alzheimer's disease , 1989, Neurology.

[10]  H. Braak,et al.  Neuropathological stageing of Alzheimer-related changes , 2004, Acta Neuropathologica.

[11]  Xiaojie Zhou,et al.  Bayesian estimation of cognitive decline in patients with Alzheimer's disease , 2002 .

[12]  Lynn Kuo,et al.  Bayesian and profile likelihood change point methods for modeling cognitive function over time , 2003, Comput. Stat. Data Anal..

[13]  K. Davis,et al.  A new rating scale for Alzheimer's disease. , 1984, The American journal of psychiatry.

[14]  R. Mohs,et al.  Consortium to establish a registry for Alzheimer's disease (CERAD) clinical and neuropsychological assessment of Alzheimer's disease. , 2002, Psychopharmacology bulletin.

[15]  Plácido Rogério Pinheiro,et al.  Applying a Decision Making Model in the Early Diagnosis of Alzheimer's Disease , 2007, RSKT.

[16]  E. Tangalos,et al.  Mild Cognitive Impairment Clinical Characterization and Outcome , 1999 .

[17]  C. P. Hughes,et al.  A New Clinical Scale for the Staging of Dementia , 1982, British Journal of Psychiatry.